Jean Reiss

1.1k citations
9 papers · 726 indexed · 1 hit paper · h-index 6
Topics
Microfluidic and Bio-sensing Technologies (3 papers)Cancer-related molecular mechanisms research (3 papers)3D Printing in Biomedical Research (3 papers)

In The Last Decade

Jean Reiss

9 papers receiving 708 citations

Hit Papers

Highly Efficient Capture of Circulating Tumor Cells by Us...20112026201620212011100200300400500

Peers

Jean Reiss
Comparison fields: 5 of 90
  • Biomedical Engineering 494
  • Oncology 279
  • Molecular Biology 204
  • Cancer Research 118
  • Electrical and Electronic Engineering 46
Replace Jun Mi with:
Jun Mi China
Anne Schwinde Germany
Eun Kyung Lee South Korea
Molly Kozminsky United States
Bongseop Kwak South Korea
Wei‐Han OuYang China
Ronny Rüger Germany
Yuejiao Zhang China
Chenchen Mao China
Yu-Cheng Tseng United States
Jean Reiss relative to Jun Mi China Jun Mi's profile →
Citations per field
00.5×5.1×
Jun Mi · 1×
Citations per year

Countries citing papers authored by Jean Reiss

Since Specialization
Citations

This map shows the geographic impact of Jean Reiss's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jean Reiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Reiss more than expected).

Fields of papers citing papers by Jean Reiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean Reiss. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jean Reiss. The network helps show where Jean Reiss may publish in the future.

Co-authorship network of co-authors of Jean Reiss

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Reiss. A scholar is included among the top collaborators of Jean Reiss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean Reiss. Jean Reiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 4
2 29
3
A history and sociology of the Willowbrook State School
11
4 62
5
Highly Efficient Capture of Circulating Tumor Cells by Using Nanostructured Silicon Substrates with Integrated Chaotic Micromixersbreakdown →
542
6 44
7 3
8 30
9 1

About Jean Reiss

Jean Reiss is a scholar working on Cancer Research, Biomedical Engineering and Neurology, having authored 9 papers that have together received 726 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (3 papers), Cancer-related molecular mechanisms research (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Biomedical Engineering (494 citations), Oncology (279 citations) and Cancer Research (118 citations). Jean Reiss has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Yi‐Kuen Lee, Shutao Wang, Leland W.K. Chung, Hsian‐Rong Tseng, Jiaoti Huang, Kan Liu, David B. Seligson, Eun Kyung Lee, Clifton Kwang-Fu Shen and Jian Liu. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Clinical Oncology and Clinical Cancer Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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